Comparison of fully and semi-automated area-based methods for measuring mammographic density and predicting breast cancer risk

BACKGROUND: Mammographic density is a strong risk factor for breast cancer but the lack of valid fully automated methods for quantifying it has precluded its use in clinical and screening settings. We compared the performance of a recently developed automated approach, based on the public domain Ima...

Πλήρης περιγραφή

Αποθηκεύτηκε σε:
Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Sovio, U, Li, J, Aitken, Z, Humphreys, K, Czene, K, Moss, S, Hall, P, McCormack, V, dos-Santos-Silva, I
Μορφή: Artigo
Γλώσσα:Inglês
Έκδοση: Nature Publishing Group 2014
Θέματα:
Epidemiology
Διαθέσιμο Online:https://ncbi.nlm.nih.gov/pmc/articles/PMC3974092/
https://ncbi.nlm.nih.gov/pubmed/24556624
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/bjc.2014.82
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